ashare-pre-st-filter

To predict A-share ST risk, you evaluate financial performance and regulatory compliance across Shanghai, Shenzhen, and ChiNext boards, analyzing revenue, net assets, dividends, and continuous loss chains. This approach synthesizes financial data with regulatory penalties to output a risk level and confidence score.

ST risk warnings are triggered by four critical red lines: revenue and profitability thresholds, net asset levels, dividend compliance, and continuous loss chains. Evaluating these financial indicators alongside audit opinions helps determine if a company faces potential delisting threats.

Regulatory compliance data improves ST risk prediction by incorporating Sina Finance regulatory penalty records to assess corporate governance quality and internal control risks. Integrating this evidence with financial reports allows for a dual-axis assessment generating high-confidence risk evaluations.

Yes, you can analyze ST risk for ChiNext board stocks, as the method operates across the Shanghai, Shenzhen, and ChiNext boards. It evaluates specific financial and regulatory thresholds to generate risk assessments for companies listed on these exchanges.

The best way to assess delisting threats is using a data-driven framework that evaluates continuous loss chains and net asset thresholds while scraping regulatory penalty records. This multi-source integration generates a comprehensive dual-axis risk assessment before delisting materializes.